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The endogenous repair mechanisms play an important role in the recovery of nerve function after stroke, such as gliosis, synaptic plasticity, remyelination and nerve regeneration. Iron is the most abundant trace metal element in the brain and plays a crucial role in the maintenance of normal cerebral function. It is an important coenzyme factor in the process of cell metabolism, DNA synthesis, purine catabolism and neurotransmitter synthesis and decomposition. However, it is unclear what role iron plays in the long-term recovery of neurological function after stroke. In this study, we first observed that changes in iron metabolism occurred during neurological function recovery in the mice with distal middle cerebral artery occlusion (dMCAO). Our data showed that plasticity changes due to endogenous repair mechanisms resulted in improvements in cerebral cortex function. These changes involved gliosis, synaptic function reconstruction, remyelination, and activation of neural stem cells. In order to examine the potential role of iron, we synthesized liposomal-encapsulated deferoxamine (DFO) nanoparticles to further explore the effect and the mechanism of iron on the recovery of neurological function in dMCAO mice. Our results showed that liposome-DFO decreased iron deposition and reversed plasticity changes in cerebral cortex function after stroke, which delayed neurological function recovery. This experiment shows that the increasing iron level promotes endogenous repair in ischemic stroke. Our finding reveals the change regularity of iron and emphasizes the beneficial role of iron in the recovery process of neurological function, which provides an important basis for the prevention and/or treatment of ischemia-reperfusion and recovery after stroke.

Supplementary Figures 1-14; Supplementary Tables 1-3. Supplementary Figure 1. Lead antibody 80PH3 is a potent inhibitor of recombinant ADAM17 Supplementary Figure 2. 80PH3 is not a potent inhibitor of cellular ADAM17 Supplementary Figure 3. MEDI3622 is highly selective for ADAM17 and does not inhibit ADAM10 or MMP12 Supplementary Figure 4. MEDI3622 does not compete for binding to cellular ADAM17 with the ADAM17 monoclonal antibody 9301 Supplementary Figure 5. MEDI3622 inhibits cellular mouse ADAM17 Supplementary Figure 6. Cell surface levels of HER pathway proteins in OE21 esophageal cancer cells Supplementary Figure 7. The half-life of MEDI3622 in rats is approximately 8 days Supplementary Figure 8. Several phosphorylation sites in EGFR are inhibited by MEDI3622 Supplementary Figure 9. Exposure to MEDI3622 reduces levels of phospho-SRC and phospho-YES Supplementary Figure 10. Percent activated EGFR predicts cetuximab sensitivity in a series of Head and Neck PDX models Supplementary Figure 11. Proliferation of COLO205 colon cancer cells is independent of the HER pathways Supplementary Figure 12. MEDI3622 does not inhibit HER pathways in Colo205 tumors Supplementary Figure 13. Predictive value of ADAM17, EGFR, HER2, and HER3 mRNA levels for sensitivity of cell lines to MEDI3622 Supplementary Figure 14. Sensitivity to MEDI3622 is not predicted my mRNA levels of ADAM1, HER2 OR HER3 in head and neck PDX models Supplementary Table 1. Correlation of MEDI3622 and cetuximab anti-proliferative activity Supplementary Table 2. Identification of ADAM17 substrates in COLO205 cells by SILAC proteomics Supplementary Table 3. Identification of ADAM17 substrates in H358 lung cancer cells by SILAC proteomics

Supplementary Materials and Methods, and Supplementary Figures

The clinical benefit of PD-1 blockade can be improved by combination with CTLA4 inhibition but is commensurate with significant immune-related adverse events suboptimally limiting the doses of anti-CTLA4 mAb that can be used. MEDI5752 is a monovalent bispecific antibody designed to suppress the PD-1 pathway and provide modulated CTLA4 inhibition favoring enhanced blockade on PD-1+ activated T cells. We show that MEDI5752 preferentially saturates CTLA4 on PD-1+ T cells versus PD-1− T cells, reducing the dose required to elicit IL2 secretion. Unlike conventional PD-1/CTLA4 mAbs, MEDI5752 leads to the rapid internalization and degradation of PD-1. Moreover, we show that MEDI5752 preferentially localizes and accumulates in tumors providing enhanced activity when compared with a combination of mAbs targeting PD-1 and CTLA4 in vivo. Following treatment with MEDI5752, robust partial responses were observed in two patients with advanced solid tumors. MEDI5752 represents a novel immunotherapy engineered to preferentially inhibit CTLA4 on PD-1+ T cells.Significance:The unique characteristics of MEDI5752 represent a novel immunotherapy engineered to direct CTLA4 inhibition to PD-1+ T cells with the potential for differentiated activity when compared with current conventional mAb combination strategies targeting PD-1 and CTLA4. This molecule therefore represents a step forward in the rational design of cancer immunotherapy.See related commentary by Burton and Tawbi, p. 1008.This article is highlighted in the In This Issue feature, p. 995

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The clinical benefit of PD-1 blockade can be improved by combination with CTLA4 inhibition but is commensurate with significant immune-related adverse events suboptimally limiting the doses of anti-CTLA4 mAb that can be used. MEDI5752 is a monovalent bispecific antibody designed to suppress the PD-1 pathway and provide modulated CTLA4 inhibition favoring enhanced blockade on PD-1+ activated T cells. We show that MEDI5752 preferentially saturates CTLA4 on PD-1+ T cells versus PD-1− T cells, reducing the dose required to elicit IL2 secretion. Unlike conventional PD-1/CTLA4 mAbs, MEDI5752 leads to the rapid internalization and degradation of PD-1. Moreover, we show that MEDI5752 preferentially localizes and accumulates in tumors providing enhanced activity when compared with a combination of mAbs targeting PD-1 and CTLA4 in vivo. Following treatment with MEDI5752, robust partial responses were observed in two patients with advanced solid tumors. MEDI5752 represents a novel immunotherapy engineered to preferentially inhibit CTLA4 on PD-1+ T cells. Significance: The unique characteristics of MEDI5752 represent a novel immunotherapy engineered to direct CTLA4 inhibition to PD-1+ T cells with the potential for differentiated activity when compared with current conventional mAb combination strategies targeting PD-1 and CTLA4. This molecule therefore represents a step forward in the rational design of cancer immunotherapy. See related commentary by Burton and Tawbi, p. 1008. This article is highlighted in the In This Issue feature, p. 995

The tea plant (Camellia sinensis) is one of the three major beverage crops in the world with its leaves consumption as tea. However, it can hyperaccumulate fluoride with about 98% fluoride deposition in the leaves. Our previously studies found that cell wall proteins (CWPs) might play a central role in fluoride accumulation/detoxification in C. sinensis. CWP is known to be glycosylated, however the response of CWP N-glycosylation to fluoride remains unknown in C. sinensis. In this study, a comparative N-glycoproteomic analysis was performed through HILIC enrichment coupled with UPLC-MS/MS based on TMT-labeling approach in C. sinensis leaves. Totally, 237 N-glycoproteins containing 326 unique N-glycosites were identified. 73.4%, 18.6%, 6.3% and 1.7% of these proteins possess 1, 2, 3, and ≥4 modification site, respectively. 93.2% of these proteins were predicted to be localized in the secretory pathway and 78.9% of them were targeted to the cell wall and the plasma membrane. 133 differentially accumulated N-glycosites (DNGSs) on 100 N-glycoproteins (DNGPs) were detected and 85.0% of them exhibited upregulated expression after fluoride treatment. 78.0% DNGPs were extracellular DNGPs, which belonged to CWPs, and 53.0% of them were grouped into protein acting on cell wall polysaccharides, proteases and oxido-reductases, whereas the majority of the remaining DNGPs were mainly related to N-glycoprotein biosynthesis, trafficking and quality control. Our study shed new light on the N-glycoproteome study, and revealed that increased N-glycosylation abundance of CWPs might contribute to fluoride accumulation/detoxification in C. sinensis leave.

China is a major producer and consumer of green tea and possesses numerous high-quality tea cultivars, which can be used to make green tea. However, the green teas produced from these tea cultivars vary markedly in aroma. In this study, a sensory evaluation method and headspace solid-phase microextraction combined with GC-MS were employed to determine the primary substances that contribute to the aromas and key differences in the aroma components of green tea produced from 20 tea cultivars. The results revealed 57 major volatile components, among which aldehydes, alcohols, and esters were the most prevalent. For the volatile components, the linalool, nonanal, and geraniol contents were the highest, followed by dimethyl sulfide, methyl salicylate, heptanal, and caproicacidhexneylester. The volatile components varied considerably among the green tea samples, and some contained substances with a high content that gave off unique aromas. The correlation analysis revealed significant correlations between the sensory evaluation scores and contents of linalool, geraniol, methyl salicylate, cis-linalool oxide, 3-carene, phenethyl alcohol, limonene, (Z)-3-cis-3-hexenyl isovalerate, citral, (E)-s-ocimene, alcohols, esters, and alkenes, as well as between the sensory evaluation scores and total volatile component contents. Aromatic substances with the highest odor activity values were, in descending order, linalool, capraldehyde, dimethyl sulfide, s-ionone, geraniol, nonanal, heptanal, (E)-2-nonenal, and caproicacidhexneylester. These substances were the major contributors to aroma formation in the green tea samples. The principal component analysis and orthogonal projections to the latent structure-discriminant analysis suggested that the 20 tea cultivars could be grouped into 6 categories and that the high content of linalool, nonanal, and geraniol substantially contributed to the categorization of the tea cultivars. A key variable analysis revealed that 23 volatile components played a critical role in the categorization of the tea cultivars.

Selenium (Se) is an essential element for human health and an important nutrient for plant growth. Selenite is the main form of Se available to plants in acidic soils. Previous studies have shown that phosphate transporters (PTHs) participate in selenite uptake in plants. Research on the PHT gene family is therefore vital for production of Se-rich products. Here, 23 CsPHT genes were identified in the tea (Camellia sinensis) genome and renamed based on homology with AtPHT genes in Arabidopsis thaliana. The CsPHT genes were divided into four subfamilies: PHT1, PHT3, PHT4, and PHO, containing nine, three, six, and five genes, respectively. Phylogenetic analysis indicated that fewer duplication events occurred in tea plants than in A. thaliana, rice, apple, and poplar. Genes in the same subfamily tended to share similar gene structures, conserved motifs, and potential functions. CsPHT genes were differentially expressed in various tissues and in roots under different Se levels, suggesting key roles in selenite uptake, translocation, and homeostasis. The results illuminate the contributions of CsPHT genes to selenite supply in tea plants, and lay a foundation for follow-up studies on their potential functions in this plant species.

Due to the accumulation of experiences on treating disease, tea began to develop to pluralism, and not limited to Camellia sinensis. The leaf buds of Eurya alata Kobuski and Camellia cuspidate were used to make Qianlincha (QLC) and Qiandingcha (QDC), which have special taste, aromas, and health benefits. In our study, the biochemical and volatile components of QLC and QDC were systematically analyzed and compared with a normal green tea (GT, C. sinensis). The biochemical and volatile components in the three tea samples were remarkably different. Compared with those in GT, QLC and QDC exhibited higher content of flavonoids and remarkably lower content of amino acids, catechins, and caffeine. High levels of flavonoids may play a crucial role in taste, liquor color, and health function of QLC and QDC. Low levels of amino acids, catechins, and caffeine may impart mouth-drying or velvety-like astringent taste, umami and refreshing taste of QLC and QDC was not as good as that of GT. High levels of linalool, geraniol, nonanal, dimethyl sulfide, and cis-jasmone may impart a clean and strongly floral or fruity aroma characteristic of QLC. High levels of linalool, 3,7-dimethyl-6-octen-3-ol, (-)-terpinen-4-ol, and terpenes may impart a strongly floral aroma characteristic of QDC.

Background: Camellia sinensis is an important economic crop with fluoride over-accumulation in the leaves, which pose a serious threaten to human health due to its leave being used for making tea. Recently, our study found that cell wall proteins (CWPs) probably play a vital role in fluoride accumulation/detoxification in C. sinensis. However, CWPs identification and characterization were lacking up to now in C. sinensis. Herein, we aimed at characterizing cell wall proteome of C. sinensis leaves, to develop more CWPs related to stress response. A strategy of combined cell wall proteome and N-glycoproteome were employed to investigate CWPs. CWPs were extracted by sequential salt buffers, while N-glycoproteins were enriched by hydrophilic interaction chromatography method using C. sinensis leaves as a material, afterwards all proteins were subjected to qualitative analysis via UPLC-MS/MS.Results: 501 and 195 CWPs were identified by cell wall proteomic and N-glycoproteomics profiling, respectively, with 118 CWPs being in common. Notably, N-glycoproteome is a feasible method for CWPs identification and consequently enhance CWP coverage. Among identified CWPs, proteins acting on cell wall polysaccharides constitute the largest functional group with most of them possibly being involved in the remodeling of cell wall structure. The second abundant group encompass mainly various proteases, being considered to be related to CWPs turnover and maturation. Oxidoreductases represent the third abundance with most of them especially Class III peroxidases being known to be implicated in defense response. As expected, identified CWPs emphasized on plant cell wall formation and defense response.Conclusion: This was the first large scale survey of CWPs by cell wall proteome and N-glycoproteome in C. sinensis. The results not only provides a database that will aid deep research on CWPs, but also improve the understanding underlying cell wall formation and defense response in this important economic specie.

AimAcute hyperglycemia is closely related to kidney injury. Oxidative stress activation and notable mitochondria damages were found under acute hyperglycemia treatment in our previous work. In the present study, we explored the dose-effect relationship and the pivotal role of mitophagy in acute hyperglycemia induced tubular injuries.MethodsForty non-diabetic SD rats were randomly divided and treated with different concentrations of hyperglycemia respectively during the 6-h clamp experiment. Renal morphological and functional alterations were detected. Rat renal tubular epithelial cells were treated with different concentrations of glucose for 6 h. Markers and the regulation pathway of mitophagy were analyzed.ResultsSignificant tubular injuries but not glomeruli were observed under both light and electron microscope after acute hyperglycemia treatment, which manifested as enlargement of tubular epithelial cells, disarrangement of epithelial cell labyrinths and swelling of mitochondria. Urinary microalbumin, β2-MG, CysC, NAG, GAL, and NGAL were increased significantly with the increase of blood glucose (P < 0.05). ROS was activated, mitochondrial membrane potential and LC3-II/LC3-I ratio were decreased but P62 and BNIP3L/Nix were increased in hyperglycemia groups (P < 0.05), which were reversed by AMPK activation or mTOR inhibition.ConclusionAcute hyperglycemia causes obvious tubular morphological and functional injuries in a dose-dependent manner. Acute hyperglycemia could inhibit mitophagy through AMPK/mTOR pathway, which would aggravate mitochondria damage and renal tubular impairment.

Fear memory is a pivotal biological function by which organisms can predict possible danger to avoid or reduce harm. However, dysregulation of fear memory processing may lead to pathological fear or anxiety and produce serious clinical symptoms, such as post-traumatic stress disorder (PTSD). Iron deficiency (ID) is reported to inhibit the initiation of fear memory. In our study, we found that ferroportin1 (FPN1), the only known cellular iron export protein in mammals, and ablation in neurons and astrocytes caused iron deficiency in the cortex and hippocampus. However, little is known about its role in the development of fear memory. Moreover, direct evidence of the role of FPN1, or the related molecular mechanisms of such a role, in balancing brain iron homeostasis, especially in neuronal cells, is lacking. Herein, we deleted Fpn1 in mouse neurons, using Nestin-cre transgenic mice, and explored the impact on neuronal iron recycling and brain iron homeostasis in the cortex and hippocampus. We investigated the response of the mice to contextual fear and found that formation of fear memory was impeded after neuronal FPN1 depletion. We also found that FPN1 ablation in neurons and astrocytes caused an atypical expression of iron metabolism-related proteins in these two regions: decreased expression of DMT1, Ft-H, and Ft-L, and increased TfR1 expression. In addition, the decreased FPN1 in brain microvascular endothelial cells (BMVECs) also shed light on the cause of the decreased iron delivery to the brain through the blood-brain barrier (BBB). Our research highlights the major role played by FPN1 in brain iron homeostasis and identifies a potential target for the treatment of PTSD.

The clinical benefit of PD-1 blockade can be improved by combination with CTLA4 inhibition but is commensurate with significant immune-related adverse events suboptimally limiting the doses of anti-CTLA4 mAb that can be used. MEDI5752 is a monovalent bispecific antibody designed to suppress the PD-1 pathway and provide modulated CTLA4 inhibition favoring enhanced blockade on PD-1

The transcription factor NF-E2-related factor 2 (Nrf2) is a central regulator of cellular antioxidant and detoxification response. The association between Nrf2 activity and iron-related oxidative stress in neurodegenerative diseases has been studied, and Nrf2 was found to transcriptionally regulate the expression of iron transporters and ferroptosis-related factors. However, the role of Nrf2 in age-related motor dysfunction and its link to iron metabolism dysregulation in brain have not been fully elucidated. In this study, with different ages of Nrf2 knockout (KO) and wild type (WT) mice, we investigated the effects of Nrf2 deficiency on brain oxidative stress, iron metabolism and the motor coordination ability of mice. In contrast to the predicted neuroprotective role of Nrf2 in oxidative stress-related diseases, we found that Nrf2 KO remarkably improved the motor coordination of aged mice, which was associated with the reduced ROS level and decreased apoptosis of dopaminergic neurons in substantia nigra (SN) of 18-month-old Nrf2 KO mice. With high-iron and Parkinson's disease (PD) mouse models, we revealed that Nrf2 KO prevented the deposition of brain iron, particularly in SN and striatum, which may subsequently delay motor dysfunction in aged mice. The regulation of Nrf2 KO on brain iron metabolism was likely mediated by decreasing the ferroportin 1 (FPN1) level on brain microvascular endothelial cells, thus hindering the process of iron entry into the brain. Nrf2 may be a potential therapeutic target in age-related motor dysfunction diseases for its role in regulating brain iron homeostasis.

Green tea made from high amino acid content (HAAC) tea cultivars with different leaf colors exhibits many similar characteristics, such as slight bitterness, a rich aroma, and a refreshing and velvety taste. To determine differences in the key constituents of five HAAC tea cultivars with various leaf colors, the cultivars quality constituents were systematically analyzed and compared with that of a normal green tea cultivar. High theanine (Thea) content and the synthesis of Thea precursors are extremely important determinants of the character of these HAAC tea cultivars. The levels of most catechins, carotenoids, and chlorophylls in the HAAC tea cultivars were significantly lower than those in the normal tea cultivar, as was that of caffeine. The present study suggests that the inhibition of catechins (particularly epicatechins; ECs), chlorophylls, carotenoids, and caffeine biosyntheses in HAAC tea cultivars directs the metabolic network toward amino acid biosynthesis, particularly Thea biosynthesis.

Clostridium difficile infection is the leading cause of hospital-acquired diarrhea and is mediated by the actions of two toxins, TcdA and TcdB. The toxins perturb host cell function through a multistep process of receptor binding, endocytosis, low pH–induced pore formation, and the translocation and delivery of an N-terminal glucosyltransferase domain that inactivates host GTPases. Infection studies with isogenic strains having defined toxin deletions have established TcdB as an important target for therapeutic development. Monoclonal antibodies that neutralize TcdB function have been shown to protect against C. difficile infection in animal models and reduce recurrence in humans. Here, we report the mechanism of TcdB neutralization by PA41, a humanized monoclonal antibody capable of neutralizing TcdB from a diverse array of C. difficile strains. Through a combination of structural, biochemical, and cell functional studies, involving X-ray crystallography and EM, we show that PA41 recognizes a single, highly conserved epitope on the TcdB glucosyltransferase domain and blocks productive translocation and delivery of the enzymatic cargo into the host cell. Our study reveals a unique mechanism of C. difficile toxin neutralization by a monoclonal antibody, which involves targeting a process that is conserved across the large clostridial glucosylating toxins. The PA41 antibody described here provides a valuable tool for dissecting the mechanism of toxin pore formation and translocation across the endosomal membrane.

Clostridium difficile is a clinically significant pathogen that causes mild-to-severe (and often recurrent) colon infections. Disease symptoms stem from the activities of two large, multidomain toxins known as TcdA and TcdB. The toxins can bind, enter, and perturb host cell function through a multistep mechanism of receptor binding, endocytosis, pore formation, autoproteolysis, and glucosyltransferase-mediated modification of host substrates. Monoclonal antibodies that neutralize toxin activity provide a survival benefit in preclinical animal models and prevent recurrent infections in human clinical trials. However, the molecular mechanisms involved in these neutralizing activities are unclear. To this end, we performed structural studies on a neutralizing monoclonal antibody, PA50, a humanized mAb with both potent and broad-spectrum neutralizing activity, in complex with TcdA. Electron microscopy imaging and multiangle light-scattering analysis revealed that PA50 binds multiple sites on the TcdA C-terminal combined repetitive oligopeptides (CROPs) domain. A crystal structure of two PA50 Fabs bound to a segment of the TcdA CROPs helped define a conserved epitope that is distinct from previously identified carbohydrate-binding sites. Binding of TcdA to the host cell surface was directly blocked by either PA50 mAb or Fab and suggested that receptor blockade is the mechanism by which PA50 neutralizes TcdA. These findings highlight the importance of the CROPs C terminus in cell-surface binding and a role for neutralizing antibodies in defining structural features critical to a pathogen's mechanism of action. We conclude that PA50 protects host cells by blocking the binding of TcdA to cell surfaces.

Complement-dependent cytotoxicity (CDC) is a potent effector mechanism, engaging both innate and adaptive immunity. Although strategies to improve the CDC activity of antibody therapeutics have primarily focused on enhancing the interaction between the antibody crystallizable fragment (Fc) and the first subcomponent of the C1 complement complex (C1q), the relative importance of intrinsic affinity and binding valency of an antibody to the target antigen is poorly understood. Here we show that antibody binding affinity to a cell surface target antigen evidently affects the extent and efficacy of antibody-mediated complement activation. We further report the fundamental role of antibody binding valency in the capacity to recruit C1q and regulate CDC. More specifically, an array of affinity-modulated variants and functionally monovalent bispecific derivatives of high-affinity anti-epidermal growth factor receptor (EGFR) and anti-human epidermal growth factor receptor 2 (HER2) therapeutic immunoglobulin Gs (IgGs), previously reported to be deficient in mediating complement activation, were tested for their ability to bind C1q by biolayer interferometry using antigen-loaded biosensors and to exert CDC against a panel of EGFR and HER2 tumor cells of various histological origins. Significantly, affinity-reduced variants or monovalent derivatives, but not their high-affinity bivalent IgG counterparts, induced near-complete cell cytotoxicity in tumor cell lines that had formerly been shown to be resistant to complement-mediated attack. Our findings suggest that monovalent target engagement may contribute to an optimal geometrical positioning of the antibody Fc to engage C1q and deploy the complement pathway.

Late embryogenesis abundant (LEA) proteins are widely known to be present in higher plants and are believed to play important functional roles in embryonic development and abiotic stress responses. However, there is a current lack of systematic analyses on the LEA protein gene family in tea plant. In this study, a total of 48 LEA genes were identified using Hidden Markov Model profiles in C. sinensis, and were classified into seven distinct groups based on their conserved domains and phylogenetic relationships. Genes in the CsLEA_2 group were found to be the most abundant. Gene expression analyses revealed that all the identified CsLEA genes were expressed in at least one tissue, and most had higher expression levels in the root or seed relative to other tested tissues. Nearly all the CsLEA genes were found to be involved in seed development, and thirty-nine might play an important role in tea seed maturation concurrent with dehydration. However, only sixteen CsLEA genes were involved in seed desiccation, and furthermore, most were suppressed. Additionally, forty-six CsLEA genes could be induced by at least one of the tested stress treatments, and they were especially sensitive to high temperature stress. Furthermore, it was found that eleven CsLEA genes were involved in tea plant in response to all tested abiotic stresses. Overall, this study provides new insights into the formation of CsLEA gene family members and improves our understanding on the potential roles of these genes in normal development processes and abiotic stress responses in tea plant, particularly during seed development and desiccation. These results are beneficial for future functional studies of CsLEA genes that will help preserve the recalcitrant tea seeds for a long time and genetically improve tea plant.

With the advent of information and 5G era, contemporary social media platforms increasingly support users to send text, voice, image, video and other multimedia data at the same time, in which images can convey the sender's emotional state very simply and directly. The classification of emotions expressed in images has become the focus of research and attracted more and more attention. Convolutional neural network is often used in image analysis and processing. In this paper, four different models are constructed based on the CNN to realize the analysis and calculation of facial emotions in images, so that pictures can be predicted through the network to convey what kinds of emotions, and finally the performance of the model is judged by comparing the accuracy and loss rates of the four models. The highest accuracy in this paper can reach 63.07%.

Sentiment analysis is a comprehensive research in Natural Language Processing (NLP) which is used to target the emotional context of the text. In previous experiments, shallow vocabulary and grammatical features were often considered, and the implicit semantic features were neglected. In order to solve this problem, this paper combines the training ways of the word vectors (Word2vec Doc2veC TF-IDF model) and machine classification model (SVM, I

In the era of big data, text sentiment analysis is of great significance to the analysis of public opinion. In general, there are two broad approaches on sentiment analysis, lexicon-based and machine learning-based method. In fact, sentiment analysis belongs to the classification technique as well. Therefore, this paper also studied the method based on deep learning. This paper implemented three approaches and compared the performances of different classification effects. The concept of Word2vec was also introduced to the machine learning-based method. The word vectorization method was used to extract the corpus features and reduce the dimension through the Principal Component Analysis (PCA)algorithm. The fully connected neural network was selected in deep-learning-based method. This paper used keras library to build neural network framework. By comparing the three methods, it was concluded that the machine learning method was the best. The correct rate was 85.60%.